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Séminaire du GERAD
Data-Driven Output Regulation of Continuous-Time Linear Time-Invariant Systems
20 juin 2025
Alessandro Bosso – Université de Bologne, Italie

Over the past decades, the control community has increasingly turned its attention to data-driven approaches, moving away from traditional model-based methods. Early developments originated in system identification and adaptive control, while recent efforts have been strongly influenced by reinforcement learning. In this context, a popular modern trend is to compute controllers directly from data via linear matrix inequalities (LMIs), bypassing the need for explicit system identification.

Building on this LMI-based paradigm, the talk will introduce the problem of designing a controller for asymptotic reference tracking and disturbance rejection from a single experiment — in short, data-driven output regulation. The approach will be presented for multivariable continuous-time linear time-invariant systems, using tools that connect with modern nonlinear estimation methods and reinterpret classical adaptive observers in a state-space setting. The talk will conclude with a discussion of open research questions related to the proposed approach.